Overview

Brought to you by YData

Dataset statistics

Number of variables19
Number of observations4190
Missing cells1620
Missing cells (%)2.0%
Duplicate rows78
Duplicate rows (%)1.9%
Total size in memory654.7 KiB
Average record size in memory160.0 B

Variable types

Numeric19

Alerts

Dataset has 78 (1.9%) duplicate rowsDuplicates
GOODS_DESCRIPTION_len_chars_max is highly overall correlated with GOODS_DESCRIPTION_len_chars_mean and 11 other fieldsHigh correlation
GOODS_DESCRIPTION_len_chars_mean is highly overall correlated with GOODS_DESCRIPTION_len_chars_max and 7 other fieldsHigh correlation
GOODS_DESCRIPTION_len_chars_median is highly overall correlated with GOODS_DESCRIPTION_len_chars_max and 4 other fieldsHigh correlation
GOODS_DESCRIPTION_len_chars_min is highly overall correlated with GOODS_DESCRIPTION_len_chars_sum and 4 other fieldsHigh correlation
GOODS_DESCRIPTION_len_chars_std is highly overall correlated with GOODS_DESCRIPTION_len_chars_max and 5 other fieldsHigh correlation
GOODS_DESCRIPTION_len_chars_sum is highly overall correlated with GOODS_DESCRIPTION_len_chars_max and 11 other fieldsHigh correlation
GOODS_DESCRIPTION_len_words_max is highly overall correlated with GOODS_DESCRIPTION_len_chars_max and 11 other fieldsHigh correlation
GOODS_DESCRIPTION_len_words_mean is highly overall correlated with GOODS_DESCRIPTION_len_chars_max and 8 other fieldsHigh correlation
GOODS_DESCRIPTION_len_words_median is highly overall correlated with GOODS_DESCRIPTION_len_chars_max and 4 other fieldsHigh correlation
GOODS_DESCRIPTION_len_words_min is highly overall correlated with GOODS_DESCRIPTION_len_chars_min and 5 other fieldsHigh correlation
GOODS_DESCRIPTION_len_words_std is highly overall correlated with GOODS_DESCRIPTION_len_chars_max and 6 other fieldsHigh correlation
GOODS_DESCRIPTION_len_words_sum is highly overall correlated with GOODS_DESCRIPTION_len_chars_max and 10 other fieldsHigh correlation
HS06_count is highly overall correlated with GOODS_DESCRIPTION_len_chars_max and 8 other fieldsHigh correlation
subtokenization_indicator_max is highly overall correlated with GOODS_DESCRIPTION_len_chars_max and 8 other fieldsHigh correlation
subtokenization_indicator_mean is highly overall correlated with subtokenization_indicator_max and 2 other fieldsHigh correlation
subtokenization_indicator_median is highly overall correlated with subtokenization_indicator_meanHigh correlation
subtokenization_indicator_min is highly overall correlated with GOODS_DESCRIPTION_len_words_sum and 1 other fieldsHigh correlation
subtokenization_indicator_std is highly overall correlated with subtokenization_indicator_max and 1 other fieldsHigh correlation
subtokenization_indicator_sum is highly overall correlated with GOODS_DESCRIPTION_len_chars_max and 7 other fieldsHigh correlation
GOODS_DESCRIPTION_len_words_std has 540 (12.9%) missing values Missing
GOODS_DESCRIPTION_len_chars_std has 540 (12.9%) missing values Missing
subtokenization_indicator_std has 540 (12.9%) missing values Missing
GOODS_DESCRIPTION_len_words_std has 100 (2.4%) zeros Zeros
subtokenization_indicator_std has 106 (2.5%) zeros Zeros

Reproduction

Analysis started2025-05-15 17:56:30.090803
Analysis finished2025-05-15 17:59:08.566354
Duration2 minutes and 38.48 seconds
Software versionydata-profiling vv4.12.1
Download configurationconfig.json

Variables

HS06_count
Real number (ℝ)

High correlation 

Distinct430
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.909308
Minimum1
Maximum3869
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.5 KiB
2025-05-15T14:59:09.079787image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median13
Q349
95-th percentile274
Maximum3869
Range3868
Interquartile range (IQR)46

Descriptive statistics

Standard deviation185.02558
Coefficient of variation (CV)2.8951273
Kurtosis105.46571
Mean63.909308
Median Absolute Deviation (MAD)11
Skewness8.4442706
Sum267780
Variance34234.467
MonotonicityNot monotonic
2025-05-15T14:59:09.956826image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 540
 
12.9%
2 319
 
7.6%
3 233
 
5.6%
4 176
 
4.2%
5 158
 
3.8%
7 137
 
3.3%
6 124
 
3.0%
8 113
 
2.7%
9 101
 
2.4%
13 83
 
2.0%
Other values (420) 2206
52.6%
ValueCountFrequency (%)
1 540
12.9%
2 319
7.6%
3 233
5.6%
4 176
 
4.2%
5 158
 
3.8%
6 124
 
3.0%
7 137
 
3.3%
8 113
 
2.7%
9 101
 
2.4%
10 51
 
1.2%
ValueCountFrequency (%)
3869 1
< 0.1%
2924 1
< 0.1%
2779 1
< 0.1%
2632 1
< 0.1%
2247 1
< 0.1%
2074 1
< 0.1%
1988 1
< 0.1%
1874 1
< 0.1%
1857 1
< 0.1%
1836 1
< 0.1%

GOODS_DESCRIPTION_len_words_sum
Real number (ℝ)

High correlation 

Distinct907
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean293.24773
Minimum1
Maximum22795
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.5 KiB
2025-05-15T14:59:10.842608image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q112
median52
Q3206
95-th percentile1246
Maximum22795
Range22794
Interquartile range (IQR)194

Descriptive statistics

Standard deviation939.78084
Coefficient of variation (CV)3.2047335
Kurtosis181.82486
Mean293.24773
Median Absolute Deviation (MAD)48
Skewness10.765924
Sum1228708
Variance883188.02
MonotonicityNot monotonic
2025-05-15T14:59:11.555603image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 197
 
4.7%
3 139
 
3.3%
4 109
 
2.6%
6 101
 
2.4%
5 98
 
2.3%
1 83
 
2.0%
7 81
 
1.9%
9 65
 
1.6%
8 64
 
1.5%
11 56
 
1.3%
Other values (897) 3197
76.3%
ValueCountFrequency (%)
1 83
2.0%
2 197
4.7%
3 139
3.3%
4 109
2.6%
5 98
2.3%
6 101
2.4%
7 81
1.9%
8 64
 
1.5%
9 65
 
1.6%
10 48
 
1.1%
ValueCountFrequency (%)
22795 1
< 0.1%
21639 1
< 0.1%
12896 1
< 0.1%
12530 1
< 0.1%
12241 1
< 0.1%
9676 1
< 0.1%
9353 1
< 0.1%
9042 1
< 0.1%
8818 1
< 0.1%
8680 1
< 0.1%

GOODS_DESCRIPTION_len_words_min
Real number (ℝ)

High correlation 

Distinct17
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8212411
Minimum1
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.5 KiB
2025-05-15T14:59:12.002942image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum19
Range18
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.3782325
Coefficient of variation (CV)0.75675458
Kurtosis33.363193
Mean1.8212411
Median Absolute Deviation (MAD)0
Skewness4.4492171
Sum7631
Variance1.8995248
MonotonicityNot monotonic
2025-05-15T14:59:12.488499image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
1 2121
50.6%
2 1452
34.7%
3 333
 
7.9%
4 128
 
3.1%
5 54
 
1.3%
6 40
 
1.0%
7 20
 
0.5%
9 11
 
0.3%
8 10
 
0.2%
10 9
 
0.2%
Other values (7) 12
 
0.3%
ValueCountFrequency (%)
1 2121
50.6%
2 1452
34.7%
3 333
 
7.9%
4 128
 
3.1%
5 54
 
1.3%
6 40
 
1.0%
7 20
 
0.5%
8 10
 
0.2%
9 11
 
0.3%
10 9
 
0.2%
ValueCountFrequency (%)
19 2
 
< 0.1%
18 1
 
< 0.1%
16 2
 
< 0.1%
15 1
 
< 0.1%
14 1
 
< 0.1%
13 2
 
< 0.1%
11 3
 
0.1%
10 9
0.2%
9 11
0.3%
8 10
0.2%

GOODS_DESCRIPTION_len_words_mean
Real number (ℝ)

High correlation 

Distinct1692
Distinct (%)40.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.0534472
Minimum1
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.5 KiB
2025-05-15T14:59:13.060773image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q34.7544714
95-th percentile6.6
Maximum19
Range18
Interquartile range (IQR)1.7544714

Descriptive statistics

Standard deviation1.6385532
Coefficient of variation (CV)0.40423698
Kurtosis10.007139
Mean4.0534472
Median Absolute Deviation (MAD)0.84680574
Skewness1.8703389
Sum16983.944
Variance2.6848567
MonotonicityNot monotonic
2025-05-15T14:59:13.638332image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 268
 
6.4%
3 237
 
5.7%
4 171
 
4.1%
1 95
 
2.3%
5 89
 
2.1%
2.5 75
 
1.8%
3.5 61
 
1.5%
6 54
 
1.3%
4.5 47
 
1.1%
3.666666667 41
 
1.0%
Other values (1682) 3052
72.8%
ValueCountFrequency (%)
1 95
2.3%
1.25 1
 
< 0.1%
1.333333333 8
 
0.2%
1.5 38
 
0.9%
1.6 2
 
< 0.1%
1.666666667 14
 
0.3%
1.714285714 2
 
< 0.1%
1.75 5
 
0.1%
1.8 5
 
0.1%
1.833333333 2
 
< 0.1%
ValueCountFrequency (%)
19 2
< 0.1%
18 1
 
< 0.1%
17 1
 
< 0.1%
16 2
< 0.1%
15 1
 
< 0.1%
14 1
 
< 0.1%
13.75 1
 
< 0.1%
13 4
0.1%
12.98501873 1
 
< 0.1%
12.25 1
 
< 0.1%

GOODS_DESCRIPTION_len_words_median
Real number (ℝ)

High correlation 

Distinct31
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.6504773
Minimum1
Maximum19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.5 KiB
2025-05-15T14:59:14.245896image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median3.5
Q34
95-th percentile6
Maximum19
Range18
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.6425555
Coefficient of variation (CV)0.44995636
Kurtosis12.897529
Mean3.6504773
Median Absolute Deviation (MAD)0.5
Skewness2.46108
Sum15295.5
Variance2.6979886
MonotonicityNot monotonic
2025-05-15T14:59:14.835782image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
3 1187
28.3%
4 1100
26.3%
2 589
14.1%
5 370
 
8.8%
3.5 169
 
4.0%
2.5 151
 
3.6%
6 141
 
3.4%
1 119
 
2.8%
4.5 90
 
2.1%
7 70
 
1.7%
Other values (21) 204
 
4.9%
ValueCountFrequency (%)
1 119
 
2.8%
1.5 43
 
1.0%
2 589
14.1%
2.5 151
 
3.6%
3 1187
28.3%
3.5 169
 
4.0%
4 1100
26.3%
4.5 90
 
2.1%
5 370
 
8.8%
5.5 29
 
0.7%
ValueCountFrequency (%)
19 2
 
< 0.1%
18 1
 
< 0.1%
17 1
 
< 0.1%
16 3
0.1%
14 2
 
< 0.1%
13.5 1
 
< 0.1%
13 7
0.2%
12.5 1
 
< 0.1%
12 2
 
< 0.1%
11.5 2
 
< 0.1%

GOODS_DESCRIPTION_len_words_max
Real number (ℝ)

High correlation 

Distinct36
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.6
Minimum1
Maximum41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.5 KiB
2025-05-15T14:59:15.569729image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median8
Q313
95-th percentile22
Maximum41
Range40
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.1978904
Coefficient of variation (CV)0.64561359
Kurtosis0.59564961
Mean9.6
Median Absolute Deviation (MAD)4
Skewness0.92257265
Sum40224
Variance38.413846
MonotonicityNot monotonic
2025-05-15T14:59:16.104780image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
4 312
 
7.4%
5 300
 
7.2%
2 299
 
7.1%
3 287
 
6.8%
6 286
 
6.8%
7 274
 
6.5%
10 259
 
6.2%
8 256
 
6.1%
11 237
 
5.7%
9 236
 
5.6%
Other values (26) 1444
34.5%
ValueCountFrequency (%)
1 95
 
2.3%
2 299
7.1%
3 287
6.8%
4 312
7.4%
5 300
7.2%
6 286
6.8%
7 274
6.5%
8 256
6.1%
9 236
5.6%
10 259
6.2%
ValueCountFrequency (%)
41 1
 
< 0.1%
37 2
 
< 0.1%
34 1
 
< 0.1%
33 1
 
< 0.1%
32 3
 
0.1%
31 4
 
0.1%
30 7
0.2%
29 7
0.2%
28 14
0.3%
27 11
0.3%

GOODS_DESCRIPTION_len_words_std
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct2713
Distinct (%)74.3%
Missing540
Missing (%)12.9%
Infinite0
Infinite (%)0.0%
Mean2.2447975
Minimum0
Maximum10.843585
Zeros100
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size65.5 KiB
2025-05-15T14:59:16.681762image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.57735027
Q11.4142136
median2.1247171
Q32.8739789
95-th percentile4.3664968
Maximum10.843585
Range10.843585
Interquartile range (IQR)1.4597653

Descriptive statistics

Standard deviation1.2246282
Coefficient of variation (CV)0.54554062
Kurtosis3.9982845
Mean2.2447975
Median Absolute Deviation (MAD)0.71050355
Skewness1.2127068
Sum8193.5108
Variance1.4997142
MonotonicityNot monotonic
2025-05-15T14:59:17.241233image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7071067812 117
 
2.8%
0 100
 
2.4%
1.414213562 66
 
1.6%
0.5773502692 40
 
1.0%
2.121320344 39
 
0.9%
1 36
 
0.9%
0.5773502692 25
 
0.6%
1.154700538 22
 
0.5%
0.9574271078 17
 
0.4%
2.828427125 16
 
0.4%
Other values (2703) 3172
75.7%
(Missing) 540
 
12.9%
ValueCountFrequency (%)
0 100
2.4%
0.2717464882 1
 
< 0.1%
0.3755338081 1
 
< 0.1%
0.377964473 1
 
< 0.1%
0.377964473 1
 
< 0.1%
0.4082482905 2
 
< 0.1%
0.4082482905 1
 
< 0.1%
0.4409585518 1
 
< 0.1%
0.4472135955 1
 
< 0.1%
0.4472135955 5
 
0.1%
ValueCountFrequency (%)
10.84358489 1
< 0.1%
10.44030651 1
< 0.1%
9.812528435 1
< 0.1%
9.192388155 2
< 0.1%
8.986100378 1
< 0.1%
8.845903006 1
< 0.1%
8.485281374 1
< 0.1%
8.354615002 1
< 0.1%
8.185352772 1
< 0.1%
8.082903769 1
< 0.1%

GOODS_DESCRIPTION_len_chars_sum
Real number (ℝ)

High correlation 

Distinct1888
Distinct (%)45.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1867.648
Minimum3
Maximum167738
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.5 KiB
2025-05-15T14:59:17.824292image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile14
Q175
median334
Q31324.75
95-th percentile7973.2
Maximum167738
Range167735
Interquartile range (IQR)1249.75

Descriptive statistics

Standard deviation6206.2527
Coefficient of variation (CV)3.3230313
Kurtosis247.35778
Mean1867.648
Median Absolute Deviation (MAD)306
Skewness12.426205
Sum7825445
Variance38517572
MonotonicityNot monotonic
2025-05-15T14:59:18.427775image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23 34
 
0.8%
13 32
 
0.8%
14 31
 
0.7%
11 31
 
0.7%
12 28
 
0.7%
10 26
 
0.6%
19 25
 
0.6%
25 24
 
0.6%
26 23
 
0.5%
17 22
 
0.5%
Other values (1878) 3914
93.4%
ValueCountFrequency (%)
3 1
 
< 0.1%
4 16
0.4%
5 12
 
0.3%
6 11
 
0.3%
7 13
0.3%
8 13
0.3%
9 19
0.5%
10 26
0.6%
11 31
0.7%
12 28
0.7%
ValueCountFrequency (%)
167738 1
< 0.1%
156074 1
< 0.1%
82898 1
< 0.1%
82038 1
< 0.1%
73835 1
< 0.1%
64804 1
< 0.1%
64331 1
< 0.1%
59853 1
< 0.1%
55286 1
< 0.1%
53641 1
< 0.1%

GOODS_DESCRIPTION_len_chars_min
Real number (ℝ)

High correlation 

Distinct72
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.419093
Minimum2
Maximum150
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.5 KiB
2025-05-15T14:59:19.094872image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q16
median9
Q313
95-th percentile26
Maximum150
Range148
Interquartile range (IQR)7

Descriptive statistics

Standard deviation9.3133826
Coefficient of variation (CV)0.8155974
Kurtosis32.335824
Mean11.419093
Median Absolute Deviation (MAD)3
Skewness4.2796572
Sum47846
Variance86.739096
MonotonicityNot monotonic
2025-05-15T14:59:19.637433image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 417
 
10.0%
7 355
 
8.5%
8 341
 
8.1%
5 334
 
8.0%
9 333
 
7.9%
10 312
 
7.4%
11 274
 
6.5%
4 264
 
6.3%
12 224
 
5.3%
13 178
 
4.2%
Other values (62) 1158
27.6%
ValueCountFrequency (%)
2 15
 
0.4%
3 148
 
3.5%
4 264
6.3%
5 334
8.0%
6 417
10.0%
7 355
8.5%
8 341
8.1%
9 333
7.9%
10 312
7.4%
11 274
6.5%
ValueCountFrequency (%)
150 1
< 0.1%
102 2
< 0.1%
100 1
< 0.1%
99 2
< 0.1%
97 1
< 0.1%
88 1
< 0.1%
84 1
< 0.1%
83 1
< 0.1%
80 1
< 0.1%
78 1
< 0.1%

GOODS_DESCRIPTION_len_chars_mean
Real number (ℝ)

High correlation 

Distinct2436
Distinct (%)58.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.040292
Minimum3
Maximum150
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.5 KiB
2025-05-15T14:59:20.152227image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile11
Q119.930159
median25.10156
Q330.746164
95-th percentile43.251026
Maximum150
Range147
Interquartile range (IQR)10.816006

Descriptive statistics

Standard deviation10.620201
Coefficient of variation (CV)0.40783726
Kurtosis10.939805
Mean26.040292
Median Absolute Deviation (MAD)5.3984396
Skewness1.9069107
Sum109108.82
Variance112.78868
MonotonicityNot monotonic
2025-05-15T14:59:20.711171image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13 47
 
1.1%
15 41
 
1.0%
14 41
 
1.0%
19 40
 
1.0%
24 38
 
0.9%
10 37
 
0.9%
11 37
 
0.9%
21 37
 
0.9%
23 36
 
0.9%
25 36
 
0.9%
Other values (2426) 3800
90.7%
ValueCountFrequency (%)
3 1
 
< 0.1%
4 16
0.4%
4.5 4
 
0.1%
5 13
0.3%
5.666666667 1
 
< 0.1%
6 12
0.3%
6.5 2
 
< 0.1%
7 18
0.4%
7.333333333 2
 
< 0.1%
7.5 1
 
< 0.1%
ValueCountFrequency (%)
150 1
< 0.1%
104 1
< 0.1%
103.25 1
< 0.1%
102 1
< 0.1%
100 1
< 0.1%
99 2
< 0.1%
97 1
< 0.1%
88 1
< 0.1%
86.68913858 1
< 0.1%
86.66666667 1
< 0.1%

GOODS_DESCRIPTION_len_chars_median
Real number (ℝ)

High correlation 

Distinct149
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.718138
Minimum3
Maximum150
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.5 KiB
2025-05-15T14:59:21.291168image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile11
Q118
median22.5
Q327.5
95-th percentile41
Maximum150
Range147
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation10.587122
Coefficient of variation (CV)0.4463724
Kurtosis14.599156
Mean23.718138
Median Absolute Deviation (MAD)4.5
Skewness2.569964
Sum99379
Variance112.08716
MonotonicityNot monotonic
2025-05-15T14:59:21.862560image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22 198
 
4.7%
24 196
 
4.7%
20 195
 
4.7%
21 191
 
4.6%
23 186
 
4.4%
25 170
 
4.1%
19 169
 
4.0%
18 158
 
3.8%
26 158
 
3.8%
27 152
 
3.6%
Other values (139) 2417
57.7%
ValueCountFrequency (%)
3 1
 
< 0.1%
4 17
0.4%
4.5 4
 
0.1%
5 14
0.3%
5.5 1
 
< 0.1%
6 16
0.4%
6.5 2
 
< 0.1%
7 21
0.5%
7.5 1
 
< 0.1%
8 17
0.4%
ValueCountFrequency (%)
150 1
< 0.1%
104 1
< 0.1%
102 1
< 0.1%
100 1
< 0.1%
99 2
< 0.1%
97 2
< 0.1%
95.5 1
< 0.1%
93.5 1
< 0.1%
93 1
< 0.1%
90 1
< 0.1%

GOODS_DESCRIPTION_len_chars_max
Real number (ℝ)

High correlation 

Distinct148
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.268974
Minimum3
Maximum150
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.5 KiB
2025-05-15T14:59:22.436511image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile12
Q130
median53
Q384
95-th percentile143
Maximum150
Range147
Interquartile range (IQR)54

Descriptive statistics

Standard deviation37.391868
Coefficient of variation (CV)0.62041654
Kurtosis-0.23455498
Mean60.268974
Median Absolute Deviation (MAD)27
Skewness0.71280785
Sum252527
Variance1398.1518
MonotonicityNot monotonic
2025-05-15T14:59:23.021452image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
150 134
 
3.2%
100 114
 
2.7%
80 83
 
2.0%
26 63
 
1.5%
32 63
 
1.5%
46 62
 
1.5%
30 60
 
1.4%
23 59
 
1.4%
31 55
 
1.3%
33 53
 
1.3%
Other values (138) 3444
82.2%
ValueCountFrequency (%)
3 1
 
< 0.1%
4 16
 
0.4%
5 16
 
0.4%
6 12
 
0.3%
7 16
 
0.4%
8 16
 
0.4%
9 17
 
0.4%
10 38
0.9%
11 40
1.0%
12 46
1.1%
ValueCountFrequency (%)
150 134
3.2%
149 35
 
0.8%
148 9
 
0.2%
147 11
 
0.3%
146 1
 
< 0.1%
145 6
 
0.1%
144 7
 
0.2%
143 11
 
0.3%
142 6
 
0.1%
141 5
 
0.1%

GOODS_DESCRIPTION_len_chars_std
Real number (ℝ)

High correlation  Missing 

Distinct3254
Distinct (%)89.2%
Missing540
Missing (%)12.9%
Infinite0
Infinite (%)0.0%
Mean14.086485
Minimum0
Maximum70.741313
Zeros18
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size65.5 KiB
2025-05-15T14:59:23.608949image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.2307911
Q18.8666728
median13.233888
Q318.211586
95-th percentile27.577164
Maximum70.741313
Range70.741313
Interquartile range (IQR)9.3449129

Descriptive statistics

Standard deviation7.7478912
Coefficient of variation (CV)0.55002304
Kurtosis3.3945739
Mean14.086485
Median Absolute Deviation (MAD)4.5996349
Skewness1.1688069
Sum51415.669
Variance60.029819
MonotonicityNot monotonic
2025-05-15T14:59:24.501008image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7071067812 37
 
0.9%
1.414213562 22
 
0.5%
3.535533906 18
 
0.4%
4.949747468 18
 
0.4%
4.242640687 18
 
0.4%
0 18
 
0.4%
2.121320344 17
 
0.4%
2.828427125 17
 
0.4%
6.363961031 16
 
0.4%
9.192388155 13
 
0.3%
Other values (3244) 3456
82.5%
(Missing) 540
 
12.9%
ValueCountFrequency (%)
0 18
0.4%
0.5 1
 
< 0.1%
0.5773502692 1
 
< 0.1%
0.5773502692 1
 
< 0.1%
0.5773502692 1
 
< 0.1%
0.5773502692 3
 
0.1%
0.7071067812 37
0.9%
0.9831920803 1
 
< 0.1%
1 2
 
< 0.1%
1.10194633 1
 
< 0.1%
ValueCountFrequency (%)
70.74131278 1
< 0.1%
66.50563886 1
< 0.1%
58.39777393 1
< 0.1%
56.5714887 1
< 0.1%
53.913787 1
< 0.1%
53.03300859 1
< 0.1%
51.83338692 1
< 0.1%
50.52062285 1
< 0.1%
49.17387224 1
< 0.1%
48.49742261 1
< 0.1%

subtokenization_indicator_sum
Real number (ℝ)

High correlation 

Distinct3049
Distinct (%)72.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean124.44661
Minimum1
Maximum9222.5029
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.5 KiB
2025-05-15T14:59:25.000388image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.3333333
Q16
median22.655934
Q388.32619
95-th percentile522.78653
Maximum9222.5029
Range9221.5029
Interquartile range (IQR)82.32619

Descriptive statistics

Standard deviation399.72429
Coefficient of variation (CV)3.2120142
Kurtosis176.86215
Mean124.44661
Median Absolute Deviation (MAD)20.155934
Skewness10.723324
Sum521431.31
Variance159779.51
MonotonicityNot monotonic
2025-05-15T14:59:25.486939image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 182
 
4.3%
2 124
 
3.0%
3 87
 
2.1%
1.5 51
 
1.2%
4 44
 
1.1%
2.5 41
 
1.0%
3.5 36
 
0.9%
5 23
 
0.5%
1.333333333 20
 
0.5%
6 20
 
0.5%
Other values (3039) 3562
85.0%
ValueCountFrequency (%)
1 182
4.3%
1.125 2
 
< 0.1%
1.142857143 2
 
< 0.1%
1.157894737 2
 
< 0.1%
1.166666667 3
 
0.1%
1.2 3
 
0.1%
1.25 8
 
0.2%
1.272727273 1
 
< 0.1%
1.285714286 1
 
< 0.1%
1.333333333 20
 
0.5%
ValueCountFrequency (%)
9222.502852 1
< 0.1%
9110.311291 1
< 0.1%
6992.023549 1
< 0.1%
5652.101169 1
< 0.1%
5143.737089 1
< 0.1%
3882.088258 1
< 0.1%
3719.079594 1
< 0.1%
3710.170501 1
< 0.1%
3643.383152 1
< 0.1%
3587.347869 1
< 0.1%

subtokenization_indicator_min
Real number (ℝ)

High correlation 

Distinct100
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2090898
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.5 KiB
2025-05-15T14:59:25.961892image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31.1666667
95-th percentile2
Maximum10
Range9
Interquartile range (IQR)0.16666667

Descriptive statistics

Standard deviation0.53483173
Coefficient of variation (CV)0.44234245
Kurtosis49.469769
Mean1.2090898
Median Absolute Deviation (MAD)0
Skewness5.4195829
Sum5066.0861
Variance0.28604498
MonotonicityNot monotonic
2025-05-15T14:59:26.458208image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 3099
74.0%
1.5 176
 
4.2%
2 154
 
3.7%
1.333333333 128
 
3.1%
1.25 80
 
1.9%
1.666666667 56
 
1.3%
3 51
 
1.2%
1.75 38
 
0.9%
1.2 34
 
0.8%
1.6 28
 
0.7%
Other values (90) 346
 
8.3%
ValueCountFrequency (%)
1 3099
74.0%
1.058823529 1
 
< 0.1%
1.071428571 1
 
< 0.1%
1.076923077 1
 
< 0.1%
1.083333333 1
 
< 0.1%
1.090909091 2
 
< 0.1%
1.1 1
 
< 0.1%
1.111111111 2
 
< 0.1%
1.125 10
 
0.2%
1.142857143 13
 
0.3%
ValueCountFrequency (%)
10 1
 
< 0.1%
8.5 1
 
< 0.1%
7 3
0.1%
6.5 1
 
< 0.1%
6.307692308 1
 
< 0.1%
6 3
0.1%
5.4 1
 
< 0.1%
5 1
 
< 0.1%
4.666666667 1
 
< 0.1%
4.333333333 1
 
< 0.1%

subtokenization_indicator_mean
Real number (ℝ)

High correlation 

Distinct3056
Distinct (%)72.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8574769
Minimum1
Maximum10.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.5 KiB
2025-05-15T14:59:27.017715image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.5
median1.7524351
Q32.0586465
95-th percentile2.9238435
Maximum10.5
Range9.5
Interquartile range (IQR)0.55864652

Descriptive statistics

Standard deviation0.65080889
Coefficient of variation (CV)0.35037254
Kurtosis27.167124
Mean1.8574769
Median Absolute Deviation (MAD)0.26732972
Skewness3.5414724
Sum7782.8281
Variance0.42355222
MonotonicityNot monotonic
2025-05-15T14:59:27.620716image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 257
 
6.1%
1.5 104
 
2.5%
2 103
 
2.5%
3 46
 
1.1%
1.25 39
 
0.9%
1.75 38
 
0.9%
1.333333333 38
 
0.9%
2.5 32
 
0.8%
1.666666667 29
 
0.7%
2.333333333 16
 
0.4%
Other values (3046) 3488
83.2%
ValueCountFrequency (%)
1 257
6.1%
1.0125 1
 
< 0.1%
1.047619048 1
 
< 0.1%
1.055555556 1
 
< 0.1%
1.058080808 1
 
< 0.1%
1.060606061 1
 
< 0.1%
1.066666667 1
 
< 0.1%
1.071428571 1
 
< 0.1%
1.075 1
 
< 0.1%
1.083333333 2
 
< 0.1%
ValueCountFrequency (%)
10.5 1
 
< 0.1%
9.2 1
 
< 0.1%
8.5 1
 
< 0.1%
8.166666667 1
 
< 0.1%
8 1
 
< 0.1%
7.944444444 1
 
< 0.1%
7 3
0.1%
6.5 2
< 0.1%
6.307692308 1
 
< 0.1%
6 3
0.1%

subtokenization_indicator_median
Real number (ℝ)

High correlation 

Distinct405
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.706521
Minimum1
Maximum10.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.5 KiB
2025-05-15T14:59:28.148181image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.3333333
median1.5833333
Q32
95-th percentile2.7652778
Maximum10.5
Range9.5
Interquartile range (IQR)0.66666667

Descriptive statistics

Standard deviation0.63635088
Coefficient of variation (CV)0.37289367
Kurtosis29.009321
Mean1.706521
Median Absolute Deviation (MAD)0.25
Skewness3.7469941
Sum7150.3229
Variance0.40494244
MonotonicityNot monotonic
2025-05-15T14:59:28.653080image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.5 649
 
15.5%
1 455
 
10.9%
2 439
 
10.5%
1.666666667 257
 
6.1%
1.333333333 223
 
5.3%
1.75 177
 
4.2%
1.25 124
 
3.0%
2.5 83
 
2.0%
1.6 81
 
1.9%
3 79
 
1.9%
Other values (395) 1623
38.7%
ValueCountFrequency (%)
1 455
10.9%
1.038461538 1
 
< 0.1%
1.045454545 1
 
< 0.1%
1.05 1
 
< 0.1%
1.055555556 3
 
0.1%
1.0625 1
 
< 0.1%
1.071428571 3
 
0.1%
1.083333333 6
 
0.1%
1.090909091 1
 
< 0.1%
1.1 10
 
0.2%
ValueCountFrequency (%)
10.5 1
 
< 0.1%
8.5 2
 
< 0.1%
8.166666667 1
 
< 0.1%
8 1
 
< 0.1%
7 3
0.1%
6.5 2
 
< 0.1%
6.307692308 1
 
< 0.1%
6 5
0.1%
5.5 1
 
< 0.1%
5.4 1
 
< 0.1%

subtokenization_indicator_max
Real number (ℝ)

High correlation 

Distinct239
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.2938163
Minimum1
Maximum59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size65.5 KiB
2025-05-15T14:59:29.171762image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12.1428571
median3.25
Q35
95-th percentile11
Maximum59
Range58
Interquartile range (IQR)2.8571429

Descriptive statistics

Standard deviation3.711385
Coefficient of variation (CV)0.86435579
Kurtosis22.677383
Mean4.2938163
Median Absolute Deviation (MAD)1.25
Skewness3.5303829
Sum17991.09
Variance13.774379
MonotonicityNot monotonic
2025-05-15T14:59:29.789104image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 420
 
10.0%
2 337
 
8.0%
4 334
 
8.0%
1 257
 
6.1%
5 198
 
4.7%
2.5 193
 
4.6%
3.5 151
 
3.6%
6 147
 
3.5%
1.5 132
 
3.2%
7 102
 
2.4%
Other values (229) 1919
45.8%
ValueCountFrequency (%)
1 257
6.1%
1.1 1
 
< 0.1%
1.125 2
 
< 0.1%
1.142857143 3
 
0.1%
1.157894737 2
 
< 0.1%
1.166666667 4
 
0.1%
1.2 7
 
0.2%
1.25 16
 
0.4%
1.272727273 2
 
< 0.1%
1.285714286 2
 
< 0.1%
ValueCountFrequency (%)
59 1
 
< 0.1%
38 1
 
< 0.1%
36 1
 
< 0.1%
33 1
 
< 0.1%
32 1
 
< 0.1%
30 1
 
< 0.1%
27 3
0.1%
26 3
0.1%
25 4
0.1%
24 3
0.1%

subtokenization_indicator_std
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct3294
Distinct (%)90.2%
Missing540
Missing (%)12.9%
Infinite0
Infinite (%)0.0%
Mean0.80102323
Minimum0
Maximum9.8994949
Zeros106
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size65.5 KiB
2025-05-15T14:59:30.457060image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1767767
Q10.47434693
median0.70001689
Q30.95482551
95-th percentile1.714059
Maximum9.8994949
Range9.8994949
Interquartile range (IQR)0.48047858

Descriptive statistics

Standard deviation0.63966077
Coefficient of variation (CV)0.79855458
Kurtosis43.937135
Mean0.80102323
Median Absolute Deviation (MAD)0.23795869
Skewness4.8950393
Sum2923.7348
Variance0.40916591
MonotonicityNot monotonic
2025-05-15T14:59:31.062730image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 106
 
2.5%
0.3535533906 40
 
1.0%
0.7071067812 34
 
0.8%
0.1767766953 15
 
0.4%
0.5773502692 10
 
0.2%
1.060660172 10
 
0.2%
0.2886751346 9
 
0.2%
1.414213562 9
 
0.2%
0.5 9
 
0.2%
0.4714045208 7
 
0.2%
Other values (3284) 3401
81.2%
(Missing) 540
 
12.9%
ValueCountFrequency (%)
0 106
2.5%
0.03535533906 1
 
< 0.1%
0.03936479108 1
 
< 0.1%
0.04040610178 1
 
< 0.1%
0.04123930494 1
 
< 0.1%
0.04614625211 1
 
< 0.1%
0.04714045208 1
 
< 0.1%
0.04714045208 1
 
< 0.1%
0.05773502692 2
 
< 0.1%
0.0589255651 1
 
< 0.1%
ValueCountFrequency (%)
9.899494937 1
< 0.1%
8.718328926 1
< 0.1%
8.249579114 1
< 0.1%
8.030236228 1
< 0.1%
7.653430603 1
< 0.1%
7.334150943 1
< 0.1%
6.363961031 1
< 0.1%
6.128506881 1
< 0.1%
5.880944501 1
< 0.1%
5.876741066 1
< 0.1%

Interactions

2025-05-15T14:58:58.581364image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:56:30.862596image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:56:38.052858image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:56:46.076912image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:56:54.575829image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:01.585123image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:10.123096image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:17.947464image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:25.024180image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:33.046679image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
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2025-05-15T14:56:42.332656image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:56:51.082692image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:56:58.881736image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:06.033890image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:14.676593image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:22.321946image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:29.976765image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:37.303560image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:44.636939image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:54.205933image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:58:02.591414image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:58:11.645646image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:58:20.920932image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:58:28.502053image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:58:36.732695image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:58:46.665741image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:58:55.310491image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:59:03.089957image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:56:35.556277image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:56:42.901275image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:56:51.532168image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:56:59.212129image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:06.564125image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:15.065768image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:22.679676image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:30.429750image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:37.724226image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:45.129952image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:54.809564image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:58:02.955239image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:58:12.487166image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:58:21.312346image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:58:29.132096image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:58:37.395778image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:58:47.152872image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:58:55.667910image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:59:03.505233image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:56:35.935537image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:56:43.376222image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:56:51.912602image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:56:59.565884image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:07.020363image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:15.602377image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:22.998355image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:30.851572image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:38.245503image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:45.573341image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:55.452741image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:58:03.438253image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:58:13.196855image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:58:21.684513image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:58:29.621829image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:58:38.049616image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:58:47.637969image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:58:56.178801image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:59:03.856124image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:56:36.258167image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:56:43.938578image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:56:52.654870image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:56:59.856139image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:07.723668image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:15.957456image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:23.286541image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:31.184672image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:38.590337image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:46.050277image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:55.835593image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:58:03.959692image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:58:13.794188image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:58:22.021415image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:58:30.098664image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:58:38.481839image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:58:48.048969image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:58:56.515113image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:59:04.575676image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:56:36.589015image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:56:44.484366image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:56:52.994066image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:00.158668image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:08.197545image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:16.290750image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:23.643100image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:31.530635image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:38.972665image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:46.539946image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:56.294389image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:58:04.370275image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:58:14.508092image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:58:22.397402image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:58:30.619791image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:58:39.022881image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:58:48.553331image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:58:56.951652image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:59:04.942590image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:56:36.959525image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:56:44.916569image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:56:53.346172image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:00.483454image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:08.627495image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:16.630692image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:23.924110image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:31.902164image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:39.309090image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:47.002144image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:56.719248image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:58:04.736274image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:58:15.090398image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:58:22.709759image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:58:31.123890image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:58:39.403515image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:58:49.123075image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:58:57.465947image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:59:05.293689image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:56:37.339004image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:56:45.351603image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:56:53.699364image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:00.896885image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:09.181656image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:17.026589image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:24.209453image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:32.316775image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:39.639812image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:47.401477image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:57.059760image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:58:05.252575image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:58:15.522374image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:58:23.049286image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:58:31.609190image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:58:39.813879image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:58:49.645057image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:58:57.883468image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:59:05.758702image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:56:37.709163image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:56:45.702333image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:56:54.126995image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:01.250104image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:09.613894image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:17.415624image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:24.567992image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:32.691273image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:40.014532image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:47.942977image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:57:57.440178image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:58:05.670976image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:58:15.934648image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:58:23.446895image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:58:32.005488image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:58:40.339813image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:58:50.073187image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-05-15T14:58:58.223262image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Correlations

2025-05-15T14:59:31.541107image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
GOODS_DESCRIPTION_len_chars_maxGOODS_DESCRIPTION_len_chars_meanGOODS_DESCRIPTION_len_chars_medianGOODS_DESCRIPTION_len_chars_minGOODS_DESCRIPTION_len_chars_stdGOODS_DESCRIPTION_len_chars_sumGOODS_DESCRIPTION_len_words_maxGOODS_DESCRIPTION_len_words_meanGOODS_DESCRIPTION_len_words_medianGOODS_DESCRIPTION_len_words_minGOODS_DESCRIPTION_len_words_stdGOODS_DESCRIPTION_len_words_sumHS06_countsubtokenization_indicator_maxsubtokenization_indicator_meansubtokenization_indicator_mediansubtokenization_indicator_minsubtokenization_indicator_stdsubtokenization_indicator_sum
GOODS_DESCRIPTION_len_chars_max1.0000.7160.520-0.3610.8420.8620.9630.7060.504-0.3350.8040.8540.7890.6300.2020.102-0.3570.3310.788
GOODS_DESCRIPTION_len_chars_mean0.7161.0000.9090.1650.7280.5010.6850.9290.8190.1470.7140.4860.3510.3230.2550.231-0.0250.1690.371
GOODS_DESCRIPTION_len_chars_median0.5200.9091.0000.2450.4620.3930.5030.8400.8750.2270.4730.3790.2490.2430.2530.2570.0550.1150.274
GOODS_DESCRIPTION_len_chars_min-0.3610.1650.2451.000-0.182-0.552-0.3800.1010.1930.837-0.166-0.562-0.641-0.481-0.0330.0680.461-0.278-0.623
GOODS_DESCRIPTION_len_chars_std0.8420.7280.462-0.1821.0000.5060.7870.6840.414-0.1690.9130.4950.4020.3390.1580.105-0.1560.2440.407
GOODS_DESCRIPTION_len_chars_sum0.8620.5010.393-0.5520.5061.0000.8640.5260.402-0.5180.5160.9980.9840.7530.1950.074-0.4900.3940.977
GOODS_DESCRIPTION_len_words_max0.9630.6850.503-0.3800.7870.8641.0000.7310.521-0.3420.8450.8670.7980.6030.1550.060-0.3810.2980.788
GOODS_DESCRIPTION_len_words_mean0.7060.9290.8400.1010.6840.5260.7311.0000.8860.1470.7500.5330.3900.2610.1210.114-0.1000.0670.386
GOODS_DESCRIPTION_len_words_median0.5040.8190.8750.1930.4140.4020.5210.8861.0000.2360.4580.4090.2730.1610.1010.121-0.021-0.0020.271
GOODS_DESCRIPTION_len_words_min-0.3350.1470.2270.837-0.169-0.518-0.3420.1470.2361.000-0.180-0.514-0.601-0.568-0.187-0.0580.368-0.402-0.612
GOODS_DESCRIPTION_len_words_std0.8040.7140.473-0.1660.9130.5160.8450.7500.458-0.1801.0000.5190.4140.3240.1340.087-0.1490.2160.413
GOODS_DESCRIPTION_len_words_sum0.8540.4860.379-0.5620.4950.9980.8670.5330.409-0.5140.5191.0000.9850.7340.1670.050-0.5040.3720.972
HS06_count0.7890.3510.249-0.6410.4020.9840.7980.3900.273-0.6010.4140.9851.0000.7550.1670.038-0.5360.3980.988
subtokenization_indicator_max0.6300.3230.243-0.4810.3390.7530.6030.2610.161-0.5680.3240.7340.7551.0000.6200.390-0.2120.8630.827
subtokenization_indicator_mean0.2020.2550.253-0.0330.1580.1950.1550.1210.101-0.1870.1340.1670.1670.6201.0000.9060.4000.6520.303
subtokenization_indicator_median0.1020.2310.2570.0680.1050.0740.0600.1140.121-0.0580.0870.0500.0380.3900.9061.0000.4950.3660.166
subtokenization_indicator_min-0.357-0.0250.0550.461-0.156-0.490-0.381-0.100-0.0210.368-0.149-0.504-0.536-0.2120.4000.4951.000-0.150-0.453
subtokenization_indicator_std0.3310.1690.115-0.2780.2440.3940.2980.067-0.002-0.4020.2160.3720.3980.8630.6520.366-0.1501.0000.487
subtokenization_indicator_sum0.7880.3710.274-0.6230.4070.9770.7880.3860.271-0.6120.4130.9720.9880.8270.3030.166-0.4530.4871.000

Missing values

2025-05-15T14:59:06.443977image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
A simple visualization of nullity by column.
2025-05-15T14:59:07.587755image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2025-05-15T14:59:08.293958image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

HS06_countGOODS_DESCRIPTION_len_words_sumGOODS_DESCRIPTION_len_words_minGOODS_DESCRIPTION_len_words_meanGOODS_DESCRIPTION_len_words_medianGOODS_DESCRIPTION_len_words_maxGOODS_DESCRIPTION_len_words_stdGOODS_DESCRIPTION_len_chars_sumGOODS_DESCRIPTION_len_chars_minGOODS_DESCRIPTION_len_chars_meanGOODS_DESCRIPTION_len_chars_medianGOODS_DESCRIPTION_len_chars_maxGOODS_DESCRIPTION_len_chars_stdsubtokenization_indicator_sumsubtokenization_indicator_minsubtokenization_indicator_meansubtokenization_indicator_mediansubtokenization_indicator_maxsubtokenization_indicator_std
HS06
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HS06_countGOODS_DESCRIPTION_len_words_sumGOODS_DESCRIPTION_len_words_minGOODS_DESCRIPTION_len_words_meanGOODS_DESCRIPTION_len_words_medianGOODS_DESCRIPTION_len_words_maxGOODS_DESCRIPTION_len_words_stdGOODS_DESCRIPTION_len_chars_sumGOODS_DESCRIPTION_len_chars_minGOODS_DESCRIPTION_len_chars_meanGOODS_DESCRIPTION_len_chars_medianGOODS_DESCRIPTION_len_chars_maxGOODS_DESCRIPTION_len_chars_stdsubtokenization_indicator_sumsubtokenization_indicator_minsubtokenization_indicator_meansubtokenization_indicator_mediansubtokenization_indicator_maxsubtokenization_indicator_std
HS06
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97050041112.7500002.062.21735675818.75000015.03712.6326306.6666671.01.6666671.5000002.6666670.816497

Duplicate rows

Most frequently occurring

HS06_countGOODS_DESCRIPTION_len_words_sumGOODS_DESCRIPTION_len_words_minGOODS_DESCRIPTION_len_words_meanGOODS_DESCRIPTION_len_words_medianGOODS_DESCRIPTION_len_words_maxGOODS_DESCRIPTION_len_words_stdGOODS_DESCRIPTION_len_chars_sumGOODS_DESCRIPTION_len_chars_minGOODS_DESCRIPTION_len_chars_meanGOODS_DESCRIPTION_len_chars_medianGOODS_DESCRIPTION_len_chars_maxGOODS_DESCRIPTION_len_chars_stdsubtokenization_indicator_sumsubtokenization_indicator_minsubtokenization_indicator_meansubtokenization_indicator_mediansubtokenization_indicator_maxsubtokenization_indicator_std# duplicates
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